中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on stereo vision technology based on improved Region growing method

文献类型:会议论文

作者Dai, Shilong1,2,3; Xia, Xinghua1; Zhang HL(张华良)2,3
出版日期2021
会议日期August 20-22, 2021
会议地点Changsha, Virtual, China
页码1-7
英文摘要Image segmentation is the cornerstone of image analysis and image processing, its main difficulty is the ill-posedness of image segmentation. The region growing method is the most commonly used method in image segmentation. Its advantages are fast calculation speed, lower algorithm difficulty, and easy understanding. This article uses the area growing algorithm and TOF combined with binocular fusion technology. Discussed how to select the seed points in the region growing method. The algorithm proposed in this paper has high accuracy and high matching quality in the boundary area of the object and the area with large difference in depth. It has both matching time and reliability. It has good results and overcomes the limitations of the active and passive distance methods in the vision system.
产权排序1
会议录2nd International Conference on Computer Vision and Data Mining, ICVDM 2021
会议录出版者IOP
会议录出版地Bristol, UK
语种英语
ISSN号1742-6588
WOS记录号IOP:1742-6588-2024-1-012020
源URL[http://ir.sia.cn/handle/173321/29775]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Dai, Shilong
作者单位1.School of Information and Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2.Industrial Control Network and System Laboratory, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Institudes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
推荐引用方式
GB/T 7714
Dai, Shilong,Xia, Xinghua,Zhang HL. Research on stereo vision technology based on improved Region growing method[C]. 见:. Changsha, Virtual, China. August 20-22, 2021.

入库方式: OAI收割

来源:沈阳自动化研究所

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